3. In the following multilayer architecture there 6 different neurons. The input signals of a neuron are initialized with x1 =-1, x2 =2 and the synaptic weights are also initialized as wl = -1, w2=2,...

Extracted text: 3. In the following multilayer architecture there 6 different neurons. The input signals of a neuron are initialized with x1 =-1, x2 =2 and the synaptic weights are also initialized as wl = -1, w2=2, w3=-2,w4=3 respectively with bias bị = b2 =1. Compute the output of two hidden neuron hl, h2 and output neuron ol,02 using forward pass signal. Apply sigmoid function as activation function. H2 BỊ B2